SpatialBSS: Blind Source Separation for Multivariate Spatial Data

Blind source separation for multivariate spatial data based on simultaneous/joint diagonalization of local covariance matrices. This package is an implementation of the methods described in Bachoc, Genton, Nordhausen, Ruiz-Gazen and Virta (2020) <doi:10.1093/biomet/asz079>.

Version: 0.11-0
Imports: Rcpp (≥ 1.0.2), JADE, sp, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: sf, RandomFields, knitr, rmarkdown, markdown
Published: 2021-08-05
Author: Christoph Muehlmann ORCID iD [aut, cre], Klaus Nordhausen ORCID iD [aut], Joni Virta ORCID iD [aut]
Maintainer: Christoph Muehlmann <christoph.muehlmann at tuwien.ac.at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: SpatialBSS results

Downloads:

Reference manual: SpatialBSS.pdf
Vignettes: SBSS
Package source: SpatialBSS_0.11-0.tar.gz
Windows binaries: r-devel: SpatialBSS_0.10-0.zip, r-devel-UCRT: SpatialBSS_0.10-0.zip, r-release: SpatialBSS_0.10-0.zip, r-oldrel: SpatialBSS_0.10-0.zip
macOS binaries: r-release (arm64): SpatialBSS_0.10-0.tgz, r-release (x86_64): SpatialBSS_0.10-0.tgz, r-oldrel: SpatialBSS_0.10-0.tgz
Old sources: SpatialBSS archive

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